Results 71 to 80 of about 2,551,221 (212)
BackgroundThe objective of this study was to build models that define variables contributing to pneumonia risk by applying supervised Machine Learning (ML) to medical and oral disease data to define key risk variables contributing to pneumonia emergence ...
Neel Shimpi+5 more
doaj +1 more source
Achieving efficient warehouse operations for product management in an indoor environment has recently become a challenging issue. If a user can store a product in a vacant place and then roughly localize the product with a simple system, this ...
Danang Kumara Hadi+7 more
doaj +1 more source
Background Only 10% of patients with alcohol and other drug (AOD) disorders receive treatment. The AOD Initiation and Engagement in Treatment (AOD-IET) measure was added to the national Healthcare Effectiveness Data and Information Set (HEDIS) to improve
C. Weisner+12 more
semanticscholar +1 more source
Business intelligence systems participate to deliveran accurate and useful information to decision makers in marketing division of bakeries manufacture. The purpose of this study was to design business intelligence model to analyze the marketing product,
Rina Fitriana+2 more
doaj
Strategic Roadmap for Adopting Data-Driven Proactive Measures in Solar Logistics
This study presents a comprehensive overview of the solar industry’s transition towards resilient energy solutions, emphasizing the critical role of data-driven practices in driving this transition through responsible resource management.
Madhura Bhandigani+2 more
doaj +1 more source
Reduction in outpatient antibiotic utilization: An unintended benefit of the COVID-19 pandemic?
Background: The COVID-19 pandemic heavily affected healthcare delivery systems in the United States. However, little is known about its impact on overall antimicrobial consumption, especially in outpatient settings. We assessed the impact of the COVID-19
Satoshi Kakiuchi+3 more
doaj +1 more source
Building a Diabetes Data Warehouse to Support Decision making in healthcare industry
data warehousing did not find its way easily and readily into healthcare and medicine, not like others financial institutions, Healthcare presents unique challenges for the architect of a data warehouse and the information needs for Health data warehouse
Abubakar Ado+4 more
semanticscholar +1 more source
Comparison of in-hospital mortality risk prediction models from COVID-19.
ObjectiveOur objective is to compare the predictive accuracy of four recently established outcome models of patients hospitalized with coronavirus disease 2019 (COVID-19) published between January 1st and May 1st 2020.MethodsWe used data obtained from ...
Ali A El-Solh+4 more
doaj +1 more source
Multidimensi Pada Data Warehouse Dengan Menggunakan Rumus Kombinasi [PDF]
Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional data warehouse is incomplete. Multidimensional give the able to analyze business measurement in many different ways. Multidimensional is also synonymous with online analytical processing (OLAP).
arxiv
An association between decreasing incidence of invasive non-typhoidal salmonellosis and increased use of antiretroviral therapy, Gauteng Province, South Africa, 2003-2013. [PDF]
BACKGROUND:HIV-infected persons are at increased risk of opportunistic infections, including invasive nontyphoidal Salmonella (iNTS) infections; antiretroviral therapy (ART) reduces this risk.
Karen H Keddy+7 more
doaj +1 more source